We Know What You Agreed To, Don't We?—Evaluating the Quality of Paper-Based Consents Forms and Their Digitalized Equivalent Using the Example of the Baltic Fracture Competence Centre Project

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Introduction The informed consent is the legal basis for research with human subjects. Therefore, the consent form (CF) as legally binding document must be valid, that is, be completely filled-in stating the person's decision clearly and signed by the respective person. However, especially paper-based CFs might have quality issues and the transformation into machine-readable information could add to low quality. This paper evaluates the quality and arising quality issues of paper-based CFs using the example of the Baltic Fracture Competence Centre (BFCC) fracture registry. It also evaluates the impact of quality assurance (QA) measures including giving site-specific feedback. Finally, it answers the question whether manual data entry of patients' decisions by clinical staff leads to a significant error rate in digitalized paper-based CFs.

Methods Based on defined quality criteria, monthly QA including source data verification was conducted by two individual reviewers since the start of recruitment in December 2017. Basis for the analyses are the CFs collected from December 2017 until February 2019 (first recruitment period).

Results After conducting QA internally, the sudden increase of quality issues in May 2018 led to site-specific feedback reports and follow-up training regarding the CFs' quality starting in June 2018. Specific criteria and descriptions on how to correct the CFs helped in increasing the quality in a timely matter. Most common issues were missing pages, decisions regarding optional modules, and signature(s). Since patients' datasets without valid CFs must be deleted, QA helped in retaining 65 datasets for research so that the final datapool consisted of 840 (99.29%) patients.

Conclusion All quality issues could be assigned to one predefined criterion. Using the example of the BFCC fracture registry, CF-QA proved to significantly increase CF quality and help retain the number of available datasets for research. Consequently, the described quality indicators, criteria, and QA processes can be seen as the best practice approach.

Keywords consent mechanisms - GDPR - informed consent - quality assurance Statement of Ethical Approval

All registry sites have received a positive vote from their local ethics committee and, thus, ethical approval.


Authors' Contributions

H.R. drafted the manuscript. H.R. and D.S. were involved in the conception and implementation of the CF-QA. A.J.R. and H.R. conducted the CF-QA including feedback to partner hospitals and provided numbers and statistics regarding the BFCC CFs. M.B. and H.R. prepared the CF content in coordination with partners, data protection officers, and ethics committees, and M.B. implemented the digital CF templates. W.H. advised the clinical implementation of the consent process. T.B. was responsible for coordinating all work packages of the University Medicine Greifswald within the BFCC project and revised the manuscript critically. All authors read and approved the final manuscript.

Publication History

Received: 29 June 2022

Accepted: 04 October 2022

Article published online:
09 January 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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